Etl consultant vs data consultant

The differences between etl consultants and data consultants can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 4-6 years to become an etl consultant, becoming a data consultant takes usually requires 2-4 years. Additionally, a data consultant has an average salary of $94,945, which is higher than the $89,422 average annual salary of an etl consultant.

The top three skills for an etl consultant include data flow, informatica powercenter and unix. The most important skills for a data consultant are analytics, data quality, and data management.

Etl consultant vs data consultant overview

	ETL Consultant	Data Consultant
Yearly salary	$89,422	$94,945
Hourly rate	$42.99	$45.65
Growth rate	9%	11%
Number of jobs	53,283	149,791
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 74%	Bachelor's Degree, 61%
Average age	43	44
Years of experience	6	4

Etl consultant vs data consultant salary

Etl consultants and data consultants have different pay scales, as shown below.

	ETL Consultant	Data Consultant
Average salary	$89,422	$94,945
Salary range	Between $69,000 And $115,000	Between $70,000 And $127,000
Highest paying City	Palo Alto, CA	San Francisco, CA
Highest paying state	Hawaii	California
Best paying company	Q.E.D. Systems	Google
Best paying industry	Insurance	Health Care

Differences between etl consultant and data consultant education

There are a few differences between an etl consultant and a data consultant in terms of educational background:

	ETL Consultant	Data Consultant
Most common degree	Bachelor's Degree, 74%	Bachelor's Degree, 61%
Most common major	Computer Science	Business
Most common college	-	University of Pennsylvania

Etl consultant vs data consultant demographics

Here are the differences between etl consultants' and data consultants' demographics:

	ETL Consultant	Data Consultant
Average age	43	44
Gender ratio	Male, 69.5% Female, 30.5%	Male, 63.2% Female, 36.8%
Race ratio	Black or African American, 8.5% Unknown, 4.9% Hispanic or Latino, 9.6% Asian, 25.5% White, 51.3% American Indian and Alaska Native, 0.2%	Black or African American, 7.4% Unknown, 4.4% Hispanic or Latino, 8.4% Asian, 14.3% White, 65.3% American Indian and Alaska Native, 0.2%
LGBT Percentage	8%	12%

Differences between etl consultant and data consultant duties and responsibilities

Etl consultant example responsibilities.

Support and maintain production Cognos web portal to manage the OLAP cube and folders.
Experience in developing procedures, functions, packages, triggers, views and cursors for enforcing the business rules using PL/SQL.
Create packages to convert flat file to XML file.
Work with XSD and XML files generation through ETL process.
Work with the QA team on fixing defects in global and regional jobs.
Involve in writing the DB2 SQL queries make the performance in the query level.

Data consultant example responsibilities.

Used SSRS to create and manage a number of complex reports according to user specifications.
Analyze, document and manage all project requirements and changes to the requirements throughout the SDLC.
Design and manage postgres database schemas; configure postgres servers in Linux environments to meet business requirements.
Manage weapon system project websites via SharePoint, including troubleshooting technical issues and developing guidelines for public/private information and user permissions.
Implement data extraction, transformation and load processes in a parallel framework.
Compile a written report highlighting exploratory data analysis, visualization, and predictions.

Etl consultant vs data consultant skills

Common etl consultant skills

Data Flow, 6%
Informatica Powercenter, 6%
Unix, 5%
Extract Data, 5%
PL/SQL, 5%
Data Warehouse, 5%

Common data consultant skills

Analytics, 13%
Data Quality, 7%
Data Management, 6%
Data Governance, 5%
Informatica, 4%
Master Data, 4%